Join Chuck Downing, a PhD student at MIT Sloan, as he dives into the capabilities of ChatGPT's Advanced Data Analysis features. This tutorial showcases how to enable and use Advanced Data Analysis, from reading and describing datasets to generating advanced data visualization and regression analyses. Downing demonstrates the process using the World Bank's carbon emissions dataset, highlighting the seamless integration of data upload, code generation, and result interpretation. Whether you're a researcher or just curious about this AI tool, this video provides a helpful introduction to harnessing the power of ChatGPT for your data tasks.

Update: ChatGPT Plus subscribers can now access Advanced Data Analysis in a standard chat window by default (without specifically enabling the tool). However, the example use cases for Advanced Data Analysis that you’ll see in this video have not changed.

To view or download the dataset used in the video, go to the World Bank website: https://data.worldbank.org/indicator/....

For more MIT Sloan resources on teaching with generative AI, visit our Resource Hub: https://mitsloanedtech.mit.edu/ai/.